Developing clinical high efficiency platforms for individualized treatment through integration of advanced radiation technology, quantitative imaging & molecular biology & machine learning for treatment of cervix cancer
Professor, Tata Memorial Centre-Advanced Centre for Treatment, Research and Education in Cancer (TMC-ACTREC), Mumbai
CO-Principal Investigator
Dr Jamema Swamidas
Associate Professor, Tata Memorial Centre-Advanced Centre for Treatment, Research and Education in Cancer (TMC-ACTREC), Mumbai, Ms. Sadhana Kannan, Scientific Officer, Tata Memorial Centre-Advanced Centre for Treatment, Research and Education in Cancer (TMC-ACTREC), Mumbai
Project Overview
This study aims: 1. To develop & validate knowledge-based automated platforms for delivering high-precision treatment for cervix cancer in time efficient manner through the integration of machine learning for “target delineation “& “treatment planning”. 2. To use existing databases & radiation dose maps of patient treatment parameters & adverse events for machine learning to develop “normal tissue complication plots “& to identify cervix cancer patient subgroups that may benefit from advanced and expensive radiation techniques. 3. To use advanced image texture analysis & biomarker data within ongoing institutional & collaborative clinical trials to identify ‘high-risk patient population’ that may benefit from intensification of treatment in future.
Professor, Tata Memorial Centre-Advanced Centre for Treatment, Research and Education in Cancer (TMC-ACTREC), Mumbai
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